Journal ArticleDOI
A Manufacturing Big Data Solution for Active Preventive Maintenance
Jiafu Wan,Shenglong Tang,Di Li,Shiyong Wang,Chengliang Liu,Haider Abbas,Athanasios V. Vasilakos +6 more
TLDR
The manufacturing big data method used for active preventive maintenance has the potential to accelerate implementation of Industry 4.0.Abstract:
Industry 4.0 has become more popular due to recent developments in cyber-physical systems, big data, cloud computing, and industrial wireless networks. Intelligent manufacturing has produced a revolutionary change, and evolving applications, such as product lifecycle management, are becoming a reality. In this paper, we propose and implement a manufacturing big data solution for active preventive maintenance in manufacturing environments. First, we provide the system architecture that is used for active preventive maintenance. Then, we analyze the method used for collection of manufacturing big data according to the data characteristics. Subsequently, we perform data processing in the cloud, including the cloud layer architecture, the real-time active maintenance mechanism, and the offline prediction and analysis method. Finally, we analyze a prototype platform and implement experiments to compare the traditionally used method with the proposed active preventive maintenance method. The manufacturing big data method used for active preventive maintenance has the potential to accelerate implementation of Industry 4.0.read more
Citations
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Journal ArticleDOI
Intelligent Manufacturing in the Context of Industry 4.0: A Review
TL;DR: This paper provides a comprehensive review of associated topics such as intelligent manufacturing, Internet of Things (IoT)-enabled manufacturing, and cloud manufacturing and describes worldwide movements in intelligent manufacturing.
Journal ArticleDOI
Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison
Qinglin Qi,Fei Tao +1 more
TL;DR: The similarities and differences between big data and digital twin are compared from the general and data perspectives and how they can be integrated to promote smart manufacturing are discussed.
Journal ArticleDOI
Disease Prediction by Machine Learning Over Big Data From Healthcare Communities
TL;DR: This paper streamline machine learning algorithms for effective prediction of chronic disease outbreak in disease-frequent communities by proposing a new convolutional neural network (CNN)-based multimodal disease risk prediction algorithm using structured and unstructured data from hospital.
Journal ArticleDOI
Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges
TL;DR: A hierarchical architecture of the smart factory was proposed first, and then the key technologies were analyzed from the aspects of the physical resource layer, the network layer, and the data application layer, which showed that the overall equipment effectiveness of the equipment is significantly improved.
Journal ArticleDOI
A systematic literature review of machine learning methods applied to predictive maintenance
Thyago Peres Carvalho,Fabrizzio Soares,Fabrizzio Soares,Roberto Vita,Roberto da Piedade Francisco,Joao Pedro Tavares Vieira Basto,Symone Gomes Soares Alcalá +6 more
TL;DR: A systematic literature review of ML methods applied to PdM, showing which are being explored in this field and the performance of the current state-of-the-art ML techniques.
References
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